Dummy Variables in Multiple Regression
In this video I explain what dummy variables are and how you can easily create them online.
Categorical variables with two characteristics can be used as independent variables (predictors) in a Regression. Variables with two characteristics are also called dichotomous, e.g. gender with the characteristics male and female
Normally, only independent variables with two characteristics can be considered in a regression. If the variables have more characteristics, dummy variables must be formed. From a variable with n characteristics, n-1 new dummy variables with 2 characteristics each are created.
You will find more information here:
https://datatab.net/tutorial/regression
and the online Regression Calculator:
https://datatab.net/statistics-calcul...
Regression Analysis: An introduction to Linear and Logistic Regression
• Regression Analysis: An introduction ...
Simple and Multiple Linear Regression
• Simple and Multiple Linear Regression
Assumptions of Linear Regression
• Assumptions of Linear Regression
Logistic Regression: An Introduction
• Logistic Regression: An Introduction
Dummy Variables in Multiple Regression
• Dummy Variables in Multiple Regression
Regression with categorical independent variables
• Regression with categorical independe...
Multicollinearity
• Multicollinearity (in Regression Anal...
Causality, Correlation and Regression
• Causality, Correlation and Regression
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